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Improving Syntax-Augmented Machine Translation by Coarsening the Label Set
Greg Hanneman
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Alon Lavie
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
Citations
URL
Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation
Zhongqiang Huang
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Jacob Devlin
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Rabih Zbib
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Syntax-Augmented Machine Translation using Syntax-Label Clustering
Hideya Mino
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Taro Watanabe
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Eiichiro Sumita
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Latent-Variable Synchronous CFGs for Hierarchical Translation
Avneesh Saluja
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Chris Dyer
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Shay B. Cohen
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Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation
Xing Wang
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Deyi Xiong
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Min Zhang
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The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References
Waleed Ammar
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Victor Chahuneau
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Michael Denkowski
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Greg Hanneman
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Wang Ling
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Austin Matthews
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Kenton Murray
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Nicola Segall
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Alon Lavie
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Chris Dyer
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The CMU Machine Translation Systems at WMT 2014
Austin Matthews
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Waleed Ammar
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Archna Bhatia
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Weston Feely
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Greg Hanneman
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Eva Schlinger
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Swabha Swayamdipta
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Yulia Tsvetkov
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Alon Lavie
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Chris Dyer
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Bilingual Markov Reordering Labels for Hierarchical SMT
Gideon Maillette de Buy Wenniger
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Khalil Sima’an
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Dependency-based Reordering Model for Constituent Pairs in Hierarchical SMT
Arefeh Kazemi
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Antonio Toral
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Andy Way
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Amirhassan Monadjemi
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Mohammadali Nematbakhsh
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Modelling the Adjunct/Argument Distinction in Hierarchical Phrase-Based SMT
Sophie Arnoult
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Khalil Sima’an
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https://github.com/jhclark/multeval
Field Of Study
Linguistic Trends
Syntax
Task
Machine Translation
Language
Chinese
English
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